[2025-11-20T18:42:38.078Z] Running test renaissance-movie-lens_0 ... [2025-11-20T18:42:38.078Z] =============================================== [2025-11-20T18:42:38.078Z] renaissance-movie-lens_0 Start Time: Thu Nov 20 18:42:37 2025 Epoch Time (ms): 1763664157626 [2025-11-20T18:42:38.078Z] variation: NoOptions [2025-11-20T18:42:38.078Z] JVM_OPTIONS: [2025-11-20T18:42:38.078Z] { \ [2025-11-20T18:42:38.078Z] echo ""; echo "TEST SETUP:"; \ [2025-11-20T18:42:38.078Z] echo "Nothing to be done for setup."; \ [2025-11-20T18:42:38.078Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux_testList_0/aqa-tests/TKG/../TKG/output_1763662608974/renaissance-movie-lens_0"; \ [2025-11-20T18:42:38.078Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux_testList_0/aqa-tests/TKG/../TKG/output_1763662608974/renaissance-movie-lens_0"; \ [2025-11-20T18:42:38.078Z] echo ""; echo "TESTING:"; \ [2025-11-20T18:42:38.078Z] "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux_testList_0/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux_testList_0/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux_testList_0/aqa-tests/TKG/../TKG/output_1763662608974/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-11-20T18:42:38.078Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux_testList_0/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux_testList_0/aqa-tests/TKG/../TKG/output_1763662608974/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-11-20T18:42:38.078Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-11-20T18:42:38.078Z] echo "Nothing to be done for teardown."; \ [2025-11-20T18:42:38.078Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux_testList_0/aqa-tests/TKG/../TKG/output_1763662608974/TestTargetResult"; [2025-11-20T18:42:38.078Z] [2025-11-20T18:42:38.078Z] TEST SETUP: [2025-11-20T18:42:38.078Z] Nothing to be done for setup. [2025-11-20T18:42:38.078Z] [2025-11-20T18:42:38.078Z] TESTING: [2025-11-20T18:42:43.777Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-11-20T18:42:52.083Z] 18:42:51.418 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-11-20T18:42:54.566Z] Got 100004 ratings from 671 users on 9066 movies. [2025-11-20T18:42:55.340Z] Training: 60056, validation: 20285, test: 19854 [2025-11-20T18:42:55.340Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-11-20T18:42:55.340Z] GC before operation: completed in 147.159 ms, heap usage 211.899 MB -> 74.383 MB. [2025-11-20T18:43:05.264Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T18:43:09.759Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T18:43:14.272Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T18:43:19.272Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T18:43:20.878Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T18:43:23.359Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T18:43:25.852Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T18:43:27.451Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T18:43:28.231Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-20T18:43:28.231Z] The best model improves the baseline by 14.52%. [2025-11-20T18:43:28.231Z] Top recommended movies for user id 72: [2025-11-20T18:43:28.231Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T18:43:28.231Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T18:43:28.231Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T18:43:28.231Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T18:43:28.231Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T18:43:28.231Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (32896.715 ms) ====== [2025-11-20T18:43:28.231Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-11-20T18:43:29.003Z] GC before operation: completed in 183.483 ms, heap usage 117.783 MB -> 85.145 MB. [2025-11-20T18:43:32.454Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T18:43:36.948Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T18:43:40.391Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T18:43:43.844Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T18:43:46.325Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T18:43:47.923Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T18:43:50.485Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T18:43:52.176Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T18:43:52.947Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-20T18:43:52.947Z] The best model improves the baseline by 14.52%. [2025-11-20T18:43:52.947Z] Top recommended movies for user id 72: [2025-11-20T18:43:52.947Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T18:43:52.947Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T18:43:52.947Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T18:43:52.947Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T18:43:52.947Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T18:43:52.947Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (24422.913 ms) ====== [2025-11-20T18:43:52.947Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-11-20T18:43:52.947Z] GC before operation: completed in 169.532 ms, heap usage 242.557 MB -> 87.475 MB. [2025-11-20T18:43:57.428Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T18:44:00.873Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T18:44:04.313Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T18:44:07.746Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T18:44:09.356Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T18:44:11.844Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T18:44:14.332Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T18:44:15.938Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T18:44:15.939Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-20T18:44:15.939Z] The best model improves the baseline by 14.52%. [2025-11-20T18:44:17.229Z] Top recommended movies for user id 72: [2025-11-20T18:44:17.229Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T18:44:17.229Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T18:44:17.229Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T18:44:17.229Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T18:44:17.229Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T18:44:17.229Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (23185.898 ms) ====== [2025-11-20T18:44:17.229Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-11-20T18:44:17.229Z] GC before operation: completed in 176.413 ms, heap usage 259.090 MB -> 88.182 MB. [2025-11-20T18:44:19.732Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T18:44:24.224Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T18:44:27.702Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T18:44:31.139Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T18:44:32.742Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T18:44:35.225Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T18:44:37.707Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T18:44:39.313Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T18:44:39.313Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-20T18:44:39.313Z] The best model improves the baseline by 14.52%. [2025-11-20T18:44:40.093Z] Top recommended movies for user id 72: [2025-11-20T18:44:40.093Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T18:44:40.093Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T18:44:40.093Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T18:44:40.093Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T18:44:40.093Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T18:44:40.093Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (23139.354 ms) ====== [2025-11-20T18:44:40.093Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-11-20T18:44:40.093Z] GC before operation: completed in 163.746 ms, heap usage 209.667 MB -> 88.360 MB. [2025-11-20T18:44:43.537Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T18:44:46.987Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T18:44:50.430Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T18:44:53.974Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T18:44:56.467Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T18:44:58.082Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T18:45:00.570Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T18:45:03.052Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T18:45:03.052Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-20T18:45:03.052Z] The best model improves the baseline by 14.52%. [2025-11-20T18:45:03.052Z] Top recommended movies for user id 72: [2025-11-20T18:45:03.052Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T18:45:03.052Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T18:45:03.052Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T18:45:03.052Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T18:45:03.052Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T18:45:03.052Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (23376.435 ms) ====== [2025-11-20T18:45:03.052Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-11-20T18:45:03.826Z] GC before operation: completed in 157.203 ms, heap usage 161.063 MB -> 88.252 MB. [2025-11-20T18:45:07.268Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T18:45:10.714Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T18:45:14.170Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T18:45:17.184Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T18:45:19.679Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T18:45:21.279Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T18:45:23.759Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T18:45:25.365Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T18:45:25.365Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-20T18:45:25.365Z] The best model improves the baseline by 14.52%. [2025-11-20T18:45:26.142Z] Top recommended movies for user id 72: [2025-11-20T18:45:26.142Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T18:45:26.142Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T18:45:26.142Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T18:45:26.142Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T18:45:26.142Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T18:45:26.142Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (22357.152 ms) ====== [2025-11-20T18:45:26.142Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-11-20T18:45:26.142Z] GC before operation: completed in 173.796 ms, heap usage 162.903 MB -> 88.597 MB. [2025-11-20T18:45:29.588Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T18:45:33.044Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T18:45:36.493Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T18:45:38.981Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T18:45:41.473Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T18:45:43.079Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T18:45:45.588Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T18:45:47.188Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T18:45:47.188Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-20T18:45:47.188Z] The best model improves the baseline by 14.52%. [2025-11-20T18:45:47.961Z] Top recommended movies for user id 72: [2025-11-20T18:45:47.961Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T18:45:47.961Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T18:45:47.961Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T18:45:47.961Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T18:45:47.961Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T18:45:47.961Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (21541.931 ms) ====== [2025-11-20T18:45:47.961Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-11-20T18:45:47.961Z] GC before operation: completed in 152.323 ms, heap usage 173.321 MB -> 88.554 MB. [2025-11-20T18:45:51.422Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T18:45:53.916Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T18:45:58.402Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T18:46:00.910Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T18:46:03.402Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T18:46:05.005Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T18:46:07.494Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T18:46:09.095Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T18:46:09.867Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-20T18:46:09.867Z] The best model improves the baseline by 14.52%. [2025-11-20T18:46:09.867Z] Top recommended movies for user id 72: [2025-11-20T18:46:09.867Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T18:46:09.867Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T18:46:09.867Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T18:46:09.867Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T18:46:09.867Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T18:46:09.867Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (22103.956 ms) ====== [2025-11-20T18:46:09.867Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-11-20T18:46:09.867Z] GC before operation: completed in 153.062 ms, heap usage 290.599 MB -> 88.940 MB. [2025-11-20T18:46:13.578Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T18:46:17.034Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T18:46:20.472Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T18:46:22.964Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T18:46:25.454Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T18:46:27.102Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T18:46:29.588Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T18:46:31.187Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T18:46:31.187Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-20T18:46:31.187Z] The best model improves the baseline by 14.52%. [2025-11-20T18:46:31.968Z] Top recommended movies for user id 72: [2025-11-20T18:46:31.968Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T18:46:31.968Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T18:46:31.968Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T18:46:31.968Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T18:46:31.968Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T18:46:31.968Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (21659.273 ms) ====== [2025-11-20T18:46:31.968Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-11-20T18:46:31.968Z] GC before operation: completed in 149.857 ms, heap usage 162.201 MB -> 88.651 MB. [2025-11-20T18:46:35.411Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T18:46:38.865Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T18:46:42.314Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T18:46:44.805Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T18:46:47.285Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T18:46:48.884Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T18:46:51.500Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T18:46:53.107Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T18:46:53.107Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-20T18:46:53.107Z] The best model improves the baseline by 14.52%. [2025-11-20T18:46:53.107Z] Top recommended movies for user id 72: [2025-11-20T18:46:53.107Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T18:46:53.107Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T18:46:53.107Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T18:46:53.107Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T18:46:53.107Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T18:46:53.107Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (21504.411 ms) ====== [2025-11-20T18:46:53.107Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-11-20T18:46:53.107Z] GC before operation: completed in 156.722 ms, heap usage 272.314 MB -> 88.922 MB. [2025-11-20T18:46:56.552Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T18:47:00.008Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T18:47:03.512Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T18:47:06.961Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T18:47:08.568Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T18:47:10.688Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T18:47:13.176Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T18:47:14.786Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T18:47:14.786Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-20T18:47:14.786Z] The best model improves the baseline by 14.52%. [2025-11-20T18:47:15.557Z] Top recommended movies for user id 72: [2025-11-20T18:47:15.557Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T18:47:15.557Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T18:47:15.557Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T18:47:15.557Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T18:47:15.557Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T18:47:15.557Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (21697.274 ms) ====== [2025-11-20T18:47:15.557Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-11-20T18:47:15.557Z] GC before operation: completed in 151.477 ms, heap usage 217.793 MB -> 88.550 MB. [2025-11-20T18:47:19.010Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T18:47:22.457Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T18:47:25.896Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T18:47:28.393Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T18:47:30.875Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T18:47:32.479Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T18:47:34.962Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T18:47:36.565Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T18:47:37.338Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-20T18:47:37.338Z] The best model improves the baseline by 14.52%. [2025-11-20T18:47:37.338Z] Top recommended movies for user id 72: [2025-11-20T18:47:37.338Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T18:47:37.338Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T18:47:37.338Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T18:47:37.338Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T18:47:37.338Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T18:47:37.338Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (21982.125 ms) ====== [2025-11-20T18:47:37.338Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-11-20T18:47:37.338Z] GC before operation: completed in 153.567 ms, heap usage 261.903 MB -> 88.887 MB. [2025-11-20T18:47:41.211Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T18:47:44.660Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T18:47:47.153Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T18:47:50.594Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T18:47:52.197Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T18:47:54.687Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T18:47:56.288Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T18:47:58.766Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T18:47:58.766Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-20T18:47:58.766Z] The best model improves the baseline by 14.52%. [2025-11-20T18:47:58.766Z] Top recommended movies for user id 72: [2025-11-20T18:47:58.766Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T18:47:58.766Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T18:47:58.766Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T18:47:58.766Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T18:47:58.766Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T18:47:58.766Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (21507.470 ms) ====== [2025-11-20T18:47:58.766Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-11-20T18:47:58.766Z] GC before operation: completed in 146.084 ms, heap usage 209.575 MB -> 88.885 MB. [2025-11-20T18:48:02.214Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T18:48:05.652Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T18:48:09.104Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T18:48:11.583Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T18:48:13.181Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T18:48:15.672Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T18:48:17.287Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T18:48:18.884Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T18:48:19.659Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-20T18:48:19.659Z] The best model improves the baseline by 14.52%. [2025-11-20T18:48:19.659Z] Top recommended movies for user id 72: [2025-11-20T18:48:19.659Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T18:48:19.659Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T18:48:19.659Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T18:48:19.659Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T18:48:19.659Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T18:48:19.659Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (20485.611 ms) ====== [2025-11-20T18:48:19.659Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-11-20T18:48:19.659Z] GC before operation: completed in 142.370 ms, heap usage 423.955 MB -> 88.971 MB. [2025-11-20T18:48:23.104Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T18:48:26.545Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T18:48:29.034Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T18:48:32.037Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T18:48:34.516Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T18:48:36.124Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T18:48:38.615Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T18:48:40.215Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T18:48:40.215Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-20T18:48:40.992Z] The best model improves the baseline by 14.52%. [2025-11-20T18:48:40.992Z] Top recommended movies for user id 72: [2025-11-20T18:48:40.992Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T18:48:40.992Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T18:48:40.992Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T18:48:40.992Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T18:48:40.992Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T18:48:40.992Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (21056.542 ms) ====== [2025-11-20T18:48:40.992Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-11-20T18:48:40.992Z] GC before operation: completed in 149.468 ms, heap usage 256.986 MB -> 89.066 MB. [2025-11-20T18:48:44.440Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T18:48:47.881Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T18:48:51.323Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T18:48:53.815Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T18:48:56.299Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T18:48:57.902Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T18:49:00.384Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T18:49:01.995Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T18:49:01.995Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-20T18:49:01.995Z] The best model improves the baseline by 14.52%. [2025-11-20T18:49:02.770Z] Top recommended movies for user id 72: [2025-11-20T18:49:02.770Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T18:49:02.770Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T18:49:02.770Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T18:49:02.770Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T18:49:02.770Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T18:49:02.770Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (21475.558 ms) ====== [2025-11-20T18:49:02.770Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-11-20T18:49:02.770Z] GC before operation: completed in 147.942 ms, heap usage 194.262 MB -> 88.809 MB. [2025-11-20T18:49:06.210Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T18:49:08.702Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T18:49:11.701Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T18:49:15.152Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T18:49:16.755Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T18:49:19.249Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T18:49:20.844Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T18:49:22.447Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T18:49:23.224Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-20T18:49:23.224Z] The best model improves the baseline by 14.52%. [2025-11-20T18:49:23.224Z] Top recommended movies for user id 72: [2025-11-20T18:49:23.224Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T18:49:23.224Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T18:49:23.224Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T18:49:23.224Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T18:49:23.224Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T18:49:23.224Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (20812.756 ms) ====== [2025-11-20T18:49:23.224Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-11-20T18:49:23.224Z] GC before operation: completed in 155.064 ms, heap usage 274.839 MB -> 88.958 MB. [2025-11-20T18:49:26.664Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T18:49:30.105Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T18:49:33.552Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T18:49:36.999Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T18:49:38.599Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T18:49:40.203Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T18:49:42.714Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T18:49:44.325Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T18:49:44.325Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-20T18:49:44.325Z] The best model improves the baseline by 14.52%. [2025-11-20T18:49:45.099Z] Top recommended movies for user id 72: [2025-11-20T18:49:45.099Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T18:49:45.099Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T18:49:45.099Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T18:49:45.099Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T18:49:45.099Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T18:49:45.099Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (21340.226 ms) ====== [2025-11-20T18:49:45.099Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-11-20T18:49:45.099Z] GC before operation: completed in 144.297 ms, heap usage 251.670 MB -> 88.749 MB. [2025-11-20T18:49:48.541Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T18:49:51.106Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T18:49:55.075Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T18:49:57.559Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T18:50:00.045Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T18:50:01.647Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T18:50:04.132Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T18:50:05.741Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T18:50:05.741Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-20T18:50:05.741Z] The best model improves the baseline by 14.52%. [2025-11-20T18:50:05.741Z] Top recommended movies for user id 72: [2025-11-20T18:50:05.741Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T18:50:05.741Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T18:50:05.741Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T18:50:05.741Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T18:50:05.741Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T18:50:05.741Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (21084.385 ms) ====== [2025-11-20T18:50:05.741Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-11-20T18:50:06.517Z] GC before operation: completed in 147.448 ms, heap usage 305.900 MB -> 88.962 MB. [2025-11-20T18:50:09.006Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T18:50:12.456Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T18:50:15.898Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T18:50:19.342Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T18:50:20.945Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T18:50:22.545Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T18:50:25.027Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T18:50:26.634Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T18:50:27.406Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-20T18:50:27.406Z] The best model improves the baseline by 14.52%. [2025-11-20T18:50:27.406Z] Top recommended movies for user id 72: [2025-11-20T18:50:27.406Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T18:50:27.406Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T18:50:27.406Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T18:50:27.406Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T18:50:27.406Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T18:50:27.406Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (21029.145 ms) ====== [2025-11-20T18:50:27.800Z] ----------------------------------- [2025-11-20T18:50:27.800Z] renaissance-movie-lens_0_PASSED [2025-11-20T18:50:27.800Z] ----------------------------------- [2025-11-20T18:50:27.800Z] [2025-11-20T18:50:27.800Z] TEST TEARDOWN: [2025-11-20T18:50:27.800Z] Nothing to be done for teardown. [2025-11-20T18:50:27.800Z] renaissance-movie-lens_0 Finish Time: Thu Nov 20 18:50:27 2025 Epoch Time (ms): 1763664627383